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Record W4303684963 · doi:10.1055/s-0042-1757330

Erratum: Arterial Thrombosis in Patients with Antiphospholipid Syndrome: A Review and Meta-Analysis

2021· review· en· W4303684963 on OpenAlexaff
Jesús Aibar, Sam Schulman

Bibliographic record

VenueSeminars in Thrombosis and Hemostasis · 2021
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsMcMaster UniversityThrombosis and Atherosclerosis Research Institute
Fundersnot available
KeywordsMedicineAntiphospholipid syndromeThrombosisMeta-analysisCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Correction to: Arterial Thrombosis in Patients with Antiphospholipid Syndrome: A Review and Meta-Analysis Semin Thromb Hemost 2021; 47(06): 709-723 DOI: 10.1055/s-0041-1725057 It has been brought to the publisher's attention that [ Fig. 4 ] published in the above article in Seminars In Thrombosis And Hemostasis , Volume 47, Number 6 (DOI: 10.1055/S-0041-1725057 ) is incorrect. The corrected figure appears as follows and is placed below. Fig. 4 Forest plots of arterial thrombosis. Comparisons between single antiplatelet therapy (SAPT) versus vitamin K antagonist (VKA) (A), dual antiplatelet therapy (DAPT) versus SAPT (B), VKA plus SAPT versus SAPT (C), VKA plus SAPT versus VKA (D), VKA international normalized ratio (INR) 2–3 versus VKA INR 3–4 (E), DAPT versus VKA plus SAPT (F), VKA versus non-VKA oral anticoagulant (NOAC) (G). Publication History Article published online: 07 October 2022 © 2022. Thieme. All rights reserved. Thieme Medical Publishers, Inc. 333 Seventh Avenue, 18th Floor, New York, NY 10001, USA

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.037
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.032
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0050.008
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0370.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.097
GPT teacher head0.379
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2021
Admission routes1
Has abstractyes

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